中This hands-on, project-driven course gives you the skills to bring artificial intelligence (AI) to life using Java and the Spring Framework. In just 3 weeks, you’ll learn how to build intelligent apps that create text, images, or recommendations quickly and become the go-to developer employers are looking for.
Generative AI for Java and Spring Development
您将学到什么
Explore AI concepts and set up a Java dev environment optimized for developing AI-powered applications with Java.
Build AI application features using Java and implement neural networks using Deeplearning4j for NLP, image recognition, and classification tasks.
Design and integrate AI service layers, RESTful APIs, and components into Spring applications using best practices.
Test, debug, deploy, and manage Spring AI apps with proper configuration, logging, and error handling strategies.
您将获得的技能
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最近已更新！
May 2025
作业
7 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
此课程作为 的一部分提供
在注册此课程时，您还需要选择一个特定的合作项目。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有3个模块
This module introduces learners to the fundamentals of artificial intelligence using Java. You will learn the core concepts of AI, set up a Java development environment for AI applications, and gain hands-on experience with key Java AI libraries. Through practical labs and guided projects, you will build their first AI applications, implement natural language processing techniques, and develop basic image recognition systems. This module is designed for Java developers who want to explore AI implementation in Java.
涵盖的内容
6个视频3篇阅读材料3个作业4个应用程序项目6个插件
This module introduces you to Spring AI, a powerful extension of the Spring Framework designed for building intelligent applications. You'll learn how to leverage Spring's familiar programming model and extensive ecosystem to integrate AI capabilities into your applications with minimal complexity. From basic setup to implementing practical AI-powered features like recommendation systems and text generation, this module provides hands-on experience through guided labs. By the end of this module, you'll have the skills to confidently build, test, and deploy AI applications using the Spring AI framework.
涵盖的内容
6个视频2篇阅读材料3个作业3个应用程序项目3个插件
涵盖的内容
1个视频2篇阅读材料1个作业3个应用程序项目1个插件
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常见问题
Yes, Java is widely used for AI development, especially in enterprise environments. With libraries like Deeplearning4j and frameworks such as Spring AI, Java developers can build intelligent applications that handle tasks like natural language processing, image recognition, and recommendation systems—all while maintaining performance and scalability.
Java offers strong performance, portability, and a mature ecosystem, making it a reliable choice for building AI-powered applications. Developers can use frameworks like Spring AI and libraries such as Deeplearning4j to create scalable, production-ready solutions. Java is especially valued in enterprise settings, where stability and integration with existing systems are critical.
Job roles like AI Engineer, Machine Learning Developer, and Java Developer with AI specialization are emerging across industries. These roles focus on integrating AI features into enterprise-grade Java applications—using tools like Spring and AI libraries to develop smart software that can automate decisions, personalize user experiences, and analyze data in real time.
更多问题
提供助学金，